pedrodiamel / nettutorialLinks
Deep learning tutorial
☆29Updated 7 years ago
Alternatives and similar repositories for nettutorial
Users that are interested in nettutorial are comparing it to the libraries listed below
Sorting:
- Pytorch implementation of Real Time Image Saliency for Black Box Classifiers https://arxiv.org/abs/1705.07857☆59Updated 6 years ago
- A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.☆85Updated 7 years ago
- Pytorch Implementation of recent visual attribution methods for model interpretability☆146Updated 5 years ago
- Visualizing how deep networks make decisions☆66Updated 6 years ago
- A machine learning library for PyTorch☆94Updated 3 years ago
- CCAs for looking into DNNs☆70Updated 5 years ago
- Variational Autoencoder implemented with PyTorch, Trained over CelebA Dataset☆171Updated 8 years ago
- Code for "Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer"☆244Updated 7 years ago
- OD-test: A Less Biased Evaluation of Out-of-Distribution (Outlier) Detectors (PyTorch)☆62Updated 2 years ago
- Implements pytorch code for the Accelerated SGD algorithm.☆215Updated 7 years ago
- Cluttered Omniglot dataset and models☆49Updated 6 years ago
- A DIRT-T Approach to Unsupervised Domain Adaptation (ICLR 2018)☆176Updated 7 years ago
- ICLR Reproducibility Challenge 2019☆219Updated 6 years ago
- PyTorch implementation of Interpretable Explanations of Black Boxes by Meaningful Perturbation☆338Updated 4 years ago
- ☆124Updated 3 years ago
- An adversarial autoencoder implementation in pytorch☆86Updated 6 years ago
- Example code for the paper "Understanding deep learning requires rethinking generalization"☆178Updated 5 years ago
- SimpleNetV1 Implementation in Pytorch☆53Updated last year
- Data, code & materials from the paper "Generalisation in humans and deep neural networks" (NeurIPS 2018)☆95Updated 2 years ago
- ☆72Updated 5 years ago
- Implementation of "Learning with Random Learning Rates" in PyTorch.☆102Updated 6 years ago
- Implementation of "Variational Dropout and the Local Reparameterization Trick" paper with Pytorch☆49Updated 8 years ago
- ☆182Updated 2 years ago
- Code for Piggyback: Adapting a Single Network to Multiple Tasks by Learning to Mask Weights☆184Updated 6 years ago
- Principled Detection of Out-of-Distribution Examples in Neural Networks☆202Updated 8 years ago
- SmoothGrad implementation in PyTorch☆172Updated 4 years ago
- An implementation of shampoo☆78Updated 7 years ago
- Auto Encoders in PyTorch☆63Updated 7 years ago
- Code for "EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis" https://arxiv.org/abs/1905.05934☆113Updated 5 years ago
- PyTorch Implementations of Dropout Variants☆88Updated 7 years ago